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deep-research深入研究

Agent Skill

deep-research 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

552

周安装

23

GitHub Stars

1

下载量

184
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:deep-research(深入研究)
来源仓库:https://github.com/webcpu/deep-research-skill
仓库路径:skills/deep-research
安装命令:
npx skills add https://github.com/webcpu/deep-research-skill --skill deep-research
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/webcpu/deep-research-skill --skill deep-research

简介

用于查找、检索和筛选相关信息,支持按关键词或任务需求快速定位内容。

  • 适合在深入研究类任务中组织候选结果并提供参考依据。
  • 通过 npx skills add 从 GitHub 仓库安装,部署方式统一。
  • 建议在安装前确认仓库维护状态及潜在的文件读写权限影响。
  • deep-research 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Deep Research Skill

Research the latest practitioner insights, official docs, and community discussion on a topic, then create or update a playbook.

Step 0: Parse Arguments

The user's input is: $ARGUMENTS

If no arguments: Display this help and stop:

Usage:
  /deep-research swift concurrency
  /deep-research kubernetes cost optimization --file infra-playbook.md
  /deep-research --file existing-playbook.md   (updates all sections)
Playbook is created in your current working directory by default.

Parsing rules — MUST follow this order:

  1. If $ARGUMENTS contains --file <path>, extract that as the file path. Everything else is the topic.
  2. Else if a token ends in .md or contains /, treat it as the file path. Everything else is the topic.
  3. Else treat ALL of $ARGUMENTS as the topic. Auto-generate the file path: <topic-slug>.md in the current working directory (e.g., "swift concurrency" → swift-concurrency.md).

Examples:

  • /deep-research swift concurrency → topic: "swift concurrency", file: swift-concurrency.md
  • /deep-research kubernetes cost optimization --file infra-playbook.md → topic: "kubernetes cost optimization", file: infra-playbook.md
  • /deep-research --file docs/playbook.md → topic: inferred from existing file, file: docs/playbook.md
  • /deep-research docs/react-hooks.md state management → topic: "state management", file: docs/react-hooks.md

Step 0.5: Clarify Assumptions

Before proceeding, use AskUserQuestion if any of these apply:

  • Ambiguous topic: The topic has multiple common meanings (e.g., "swift", "python", "spring", "agent", "mercury"). Ask which one.
  • Overly broad topic: The topic is too wide to research well without focus (e.g., "machine learning", "AI safety"). Ask what aspect or audience matters.
  • Missing context that changes results: The topic implies a specific context the user hasn't stated (e.g., cloud provider, programming language, audience level).
  • Update mode without topic: If inferring the research focus from an existing file, confirm the inferred focus before launching agents.

Skip this step if the topic is specific and unambiguous.

Step 1: Read or Create Playbook

If the target file exists:

  • Read it. Check if it looks like a playbook (has a Sources section or *Captured:* date).
  • If yes: note all section headings, Sources list, and voice/style. Set mode = update.
  • If no: warn user — "This file exists but doesn't look like a playbook. Update it anyway, or create a new file?"

If the target file does not exist:

  • If no topic was given, stop: "New playbook needs a topic. Usage: /deep-research <topic>"
  • If the parent directory does not exist, create it.
  • Set mode = create. The research agents will discover the structure.

Tell the user: "Creating playbook at <absolute path>" or "Updating playbook at <absolute path>".

Step 2: Determine Research Scope

mode = update (existing playbook):

Identify the playbook's subject from its title and section headings.

With topic: Launch 2-3 agents researching the topic within the playbook's subject domain. Each agent MUST search from a different angle:

  1. Official docs and authoritative sources
  2. Community discussion and practitioner blogs
  3. (Optional) Social media and recent reports

Without topic: Group the existing section headings into 3-5 research themes. Launch one agent per theme, looking for updates since the playbook's *Captured:* date.

mode = create (new playbook):

The topic IS the subject. Launch 3-5 agents, each covering a different facet:

  1. Core concepts and official documentation
  2. Best practices and common patterns
  3. Gotchas, pitfalls, and troubleshooting
  4. Tools, libraries, and ecosystem
  5. (Optional) Advanced techniques and emerging trends

Adapt facets to fit the topic — not every topic needs all five.

Step 3: Launch Research Agents

Before launching, tell the user:

Launching [N] research agents in parallel:
  1. [Agent 1 angle]
  2. [Agent 2 angle]
  ...

Use the Agent tool to launch agents in parallel. Each agent MUST use subagent_type: general-purpose and run_in_background: false.

Constructing the prompt for each agent — MUST include:

  1. The subject and specific angle this agent covers (e.g., "best practices for Swift async/await" or "Claude Code opus 4.7 official docs")
  2. Context from the playbook:

- mode = update: list existing section headings so the agent skips what's already covered - mode = create: tell the agent this is a new playbook — return all findings

  1. Search instructions: Tell the agent to use WebSearch with queries derived from the subject and topic. Pattern:

- "[subject] [topic] [current year]" (general web) - "[subject] [topic]" on authoritative domains for that subject - "[subject] [topic] blog [current year]" (practitioner blogs) - Then WebFetch promising URLs to extract details

  1. Output format: For each finding, return:

- Insight: The specific, actionable finding (1-2 sentences) - Source URL: Direct link - Suggested section: Which section this belongs in (exact name for update mode, proposed name for create mode) - Confidence: High (official docs/multiple sources) or Medium (single practitioner report)

  1. Rules: MUST only return findings with real source URLs. NEVER return findings without sources. Focus on practitioner insights (what people actually do), not marketing. Prefer concrete techniques, numbers, and gotchas over general advice.

If an agent returns no results, try broader search terms without the year qualifier before giving up.

Step 4: Integrate Findings

If mode = update (existing playbook):

For each research agent's results:

  1. Filter: Drop anything without a source URL or that duplicates existing content
  2. Locate: Find the exact section in the playbook where each finding belongs
  3. Edit: Use the Edit tool to merge the finding into the existing section

- MUST match the playbook's existing voice — read a few paragraphs to internalize the style before writing. Tone contrast: - BAD: "It is generally recommended to consider implementing caching for improved performance." - GOOD: "Cache aggressively. Redis for shared state, in-memory for hot paths. Profile first." - Format: [Insight text]. — [Source Name](URL) (space-emdash-space before source) - Add to existing paragraphs, tables, or bullet lists — NEVER create a new subsection unless the content covers a topic not addressed anywhere in the existing section AND requires more than 3 bullet points

  1. Source list: Add any new source URLs to the Sources list at the bottom

Integration rules:

  • NEVER create a separate "New Findings" or "Updates" section — merge into existing structure
  • NEVER add a claim without a source URL
  • NEVER change the voice — match whatever style the playbook already uses
  • If a finding contradicts existing content and has High confidence, update the existing content — keep the old source alongside the new one so the reader can see the evolution
  • If a finding contradicts existing content but only has Medium confidence, add it as an alternative perspective rather than replacing
  • ALWAYS preserve existing content unless explicitly superseded by a High-confidence source

If mode = create (new playbook):

  1. Filter: Drop anything without a source URL
  2. Group: Cluster findings by theme into logical sections (aim for 5-10 sections)
  3. Write: Use the Write tool to create the file. Structure: # [Title derived from topic] [Sections — group related insights under clear headings] --- ## Sources [All source URLs from research] --- *Captured: YYYY-MM-DD* For each section:

- Write a tight summary paragraph synthesizing the findings, then bullet the key insights - Every claim MUST have a source: [Insight]. — [Source Name](URL) - Voice: direct, concise, practitioner-focused — no filler, no hedging

  1. Source list: Collect all source URLs into the Sources section at the bottom

If all findings were filtered out, tell the user: "No sourced findings were found for this topic. Try a broader or more specific topic."

Step 5: Verify and Report

After all edits:

  1. Read the playbook to verify:

- Every new claim has a source URL - No duplicate entries - Sections read cohesively (new content doesn't feel bolted on) - The Sources list includes all URLs

  1. Report to the user: ## Playbook [Created | Updated] **File**: [absolute file path] **Mode**: [create | update] **Topic**: [what was researched] **Agents launched**: [N] ### Sections [created | modified]: - **Section Name** — [brief description of content] -... ### Sources: [count] ### Findings integrated: [count] ### Findings dropped (no source / duplicate): [count]

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

36.66%
按下载量换算67

Claude

30.6%
按下载量换算56

Cursor

18.91%
按下载量换算35

Gemini CLI

11.6%
按下载量换算21

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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